An eCommerce site should respond promptly and make essential product information accessible as soon as the page is requested. Engineering, digital product, and SEO teams should assess time to first byte (TTFB), page payload size, redirects, and the delivery of critical content. Performance targets should reflect the site's starting point and observed crawler behavior, with testing used to confirm that improvements make product information easier to retrieve.

At eTail Palm Springs 2026, Olivia McGee Smith, Performance & Growth Marketing Manager at Propper International, emphasized how page organization affects machine access: "Organize your content as clearly as possible. Include those headers. Include the different sections so that AI can parse and extract data clearly." Her observation adds an important consideration for performance work: teams should assess how easily crawlers can identify and extract essential information alongside how quickly the page responds.

Start by measuring server response times and payload sizes across representative product and category templates. Inspect slow pages for unnecessary redirects, delayed content, and infrastructure bottlenecks, then confirm that essential product facts and structured data appear in the initial HTML. Test improvements on a limited group of pages and review crawler access, response times, and shopper experience before expanding the rollout.

Join us at eTail Palm Springs to compare site performance priorities with retail engineering, digital product, and SEO leaders improving access to product information for AI-driven discovery.